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Heterogeneous distributed embedded systems are widely used because they can significantly improve the computing performance of parallel applications in embedded systems. Since such systems are limited by both system energy consumption and schedule length, further scheduling optimization design is required. To achieve a balance between computing performance and energy consumption, the task scheduling problem under energy constraints has attracted great attention from researchers in recent years. However, state-of-the-art algorithms ignore the impact of the task structure of the application on scheduling performance. In this study, a structure-aware task scheduling strategy is proposed for the parallel application scheduling problem in heterogeneous distributed embedded systems. Specifically, the structure of the application is considered a factor affecting the algorithm. Meanwhile, to reduce the …